The AI Trading Playbook: Build, Backtest, and Automate Winning Strategies

Artificial intelligence promises to transform trading, but the gap between hype and reality is vast. This book cuts through the noise to give you a practical, step-by-step framework for building, backtesting, and automating trading strategies that actually work in real markets. You'll learn how to source and prepare data, design both rule-based and machine learning strategies, rigorously backtest without fooling yourself, and deploy automated systems safely. Every chapter emphasizes the hard truths: most algorithmic traders lose money, past performance never guarantees future results, and leverage can wipe you out. You'll discover how to manage risk, evaluate metrics honestly, and avoid the common pitfalls that sink retail and professional traders alike. Whether you're a developer curious about quantitative finance or an experienced trader exploring AI, this playbook gives you the tools and realism to navigate the journey responsibly. No get-rich-quick promises—just clear, honest guidance for building your own edge. Part of The AI Trading Library.

About the author

Victor Adeyemi Sloane writes for The AI Trading Library.

© 2026 PublishDrive (E-bog): 6610001409647

Udgivelsesdato

E-bog: 29. september 2026